Neha Garg
- Accounting top 5%
- Economics and Econometrics top 10%
- Organizational Behavior and Human Resource Management top 5%
- Social Psychology
- Communication top 10%
- Co-authors
- Shveta SinghPankaj SinghAnirban GangulyWendy MurphyPayal AnandAsim TalukdarAnuj GuptaK. G. Mukerji
- Topics
- Job Satisfaction and Organizational Behavior (7 papers)Knowledge Management and Sharing (4 papers)Perfectionism, Procrastination, Anxiety Studies (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Neha Garg
16 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Accounting 200
- Economics and Econometrics 119
- Organizational Behavior and Human Resource Management 109
- Social Psychology 67
- Communication 63
Countries citing papers authored by Neha Garg
This map shows the geographic impact of Neha Garg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Garg more than expected).
Fields of papers citing papers by Neha Garg
This network shows the impact of papers produced by Neha Garg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neha Garg. The network helps show where Neha Garg may publish in the future.
Co-authorship network of co-authors of Neha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Garg. A scholar is included among the top collaborators of Neha Garg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neha Garg. Neha Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 35 | |
| 6 | 24 | |
| 7 | 35 | |
| 8 | 0 | |
| 9 | 28 | |
| 10 | 9 | |
| 11 | Comparison of Various Uterine Closure Techniques of Caesarean Section: A Randomized Controlled Trial | 1 |
| 12 | 46 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | Financial literacy among youthbreakdown → | 221 |
| 17 | 9 | |
| 18 | 4 | |
| 19 | Caesarean section in a dromedary camel: a case report. | 2 |
| 20 | The biodeterioration of library materials. | 4 |
About Neha Garg
Neha Garg is a scholar working on Organizational Behavior and Human Resource Management, Communication and Conservation, having authored 20 papers that have together received 440 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (7 papers), Knowledge Management and Sharing (4 papers) and Perfectionism, Procrastination, Anxiety Studies (2 papers). The work is most often cited by research in Accounting (200 citations), Organizational Behavior and Human Resource Management (109 citations) and Communication (63 citations). Neha Garg has collaborated with scholars based in India and United States. Frequent co-authors include Shveta Singh, Pankaj Singh, Anirban Ganguly, Wendy Murphy, Payal Anand, Asim Talukdar, Anuj Gupta, K. G. Mukerji, Pawan Singh and Shveta Singh. Their work appears in journals such as Journal of Knowledge Management, Career Development International and Management Research Review.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.